Tests of Independence and Analysis of Dependence Between Point Processes in Time
Percentage of concordant intervals
Changes format of the vector of occurrence times in a point process
Conditional test of independence between two Poisson process
Correlation between the counting variables in two point processes
Identifying the occurrence points of the indicator processes in a CPSP
Identifying the occurrence points of the indicator processes in the CP...
Estimating extremal dependence coefficientes
Estimating cross K-function and envelopes for marginal processes of a ...
Generating a Common Poisson Shock Process
Generating a multivariate Neyman-Scott cluster process
Generating dependent point processes from a marked Poison Process
Generating dependent point processes by a tandem queueing network
Estimating cross K-function and envelopes for the marginal processes o...
Calculates the set of close points and the mean distance in a vector o...
Generates by translation a vector of independent processes, and calcul...
Generates a vector of independent processes, and calculates the set of...
A graphical test to assess independence between two point processes
Generating a vector of independent Neyman-Scott cluster processes
Generates trajectories of independent Poisson processes
Tests of Independence and Analysis of Dependence between Point Process...
Simulated intervals in a vector of point processes
Distance to the nearest point
Estimating the D-function
Estimating the F-function
Estimating the cross J-function and testing independence
Estimating cross K-function and testing independence
Plotting the occurrence points of the indicator processes in a CPSP
Plotting the occurrence points of a vector of point processes
Plotting the occurrence points of the marginal processes in a CPSP
Generating points in a homogenous Poisson process
Generating points in a Poisson process
Stationary distribution of a matrix and its spectral gap
Lotwick-Silverman test of independence between point processes
Parametric bootstrap test of independence between point processes
Estimation of the transition matrix of a Markov chain
Calculating the set of close points
It provides a general framework to analyse dependence between point processes in time. It includes parametric and non-parametric tests to study independence, and functions for generating and analysing different types of dependence.